Construction and Validation of a Nomogram for Predicting the Adding-On Phenomenon Postoperatively for Adolescent Idiopathic Scoliosis: A Retrospective Study.

Objective: To develop and validate a nomogram predicting the postoperative adding-on phenomenon in Lenke 1/2 adolescent idiopathic scoliosis patients, providing a quantitative tool for therapeutic benefit assessment and personalized risk prediction.

Methods: A retrospective analysis was conducted using clinical data from 213 patients. The least absolute shrinkage selection operator was applied to identify the best predictors.

scRNA-Seq reveals age-dependent microglial evolution as a determinant of immune response following spinal cord injury.

Spinal cord injury (SCI) is a debilitating condition of the central nervous system (CNS) that leads to severe impairments in sensory and motor functions. Previous studies have pointed out that patient age is a critical factor influencing SCI prognosis. However, the role of microglia in age-related differences in SCI outcomes remains unclear.

Convolutional Neural Network Incorporating Multiple Attention Mechanisms for MRI Classification of Lumbar Spinal Stenosis.

Background: Lumbar spinal stenosis (LSS) is a common cause of low back pain, especially in the elderly, and accurate diagnosis is critical for effective treatment. However, manual diagnosis using MRI images is time consuming and subjective, leading to a need for automated methods.

Objective: This study aims to develop a convolutional neural network (CNN)-based deep learning model integrated with multiple attention mechanisms to improve the accuracy and robustness of LSS classification via MRI images.

Effects of acupuncture on ischemic stroke: A systematic review with meta-analyses and trial sequential analyses.

Background: Although acupuncture is widely used to treat ischemic stroke, its effects remain uncertain. This systematic review aims to synthesize current evidence on the effects of acupuncture for ischemic stroke and assess whether current randomized controlled trials (RCTs) have sufficient power to detect its effects.

Methods: Seven databases and two registry platforms were searched systematically from inception to June 13, 2023, to identify RCTs comparing the effects of acupuncture on ischemic stroke with control groups (placebo/blank).

LncRNA H19 Influences Cellular Activities via the miR-454-3p/BHLHE40 Axis in Anaplastic Thyroid Carcinoma.

Anaplastic thyroid carcinoma (ATC) is an aggressive malignancy threatening patients' life quality. Our previous study has demonstrated that inhibition of long non-coding RNA H19 (lncRNA h19; H19) blocks ATC growth and metastasis. The current study aimed to further explore the potential mechanism of H19 in ATC.

ResNet for recognition of Qi-deficiency constitution and balanced constitution based on voice.

Background: According to traditional Chinese medicine theory, a Qi-deficiency constitution is characterized by a lower voice frequency, shortness of breath, reluctance to speak, an introverted personality, emotional instability, and timidity. People with Qi-deficiency constitution are prone to repeated colds and have a higher probability of chronic diseases and depression. However, a person with a Balanced constitution is relatively healthy in all physical and psychological aspects.

Automatic tongue image quality assessment using a multi-task deep learning model.

The quality of tongue images has a significant influence on the performance of tongue diagnosis in Chinese medicine. During the acquisition process, the quality of the tongue image is easily affected by factors such as the illumination, camera parameters, and tongue extension of the subject. To ensure that the quality of the collected images meet the diagnostic criteria of traditional Chinese Medicine practitioners, we propose a deep learning model to evaluate the quality of tongue images.

Biological effective dose in analysis of rectal dose in prostate cancer patients who underwent a combination therapy of VMAT and LDR with hydrogel spacer insertion.

This study aimed to evaluate rectal dose reduction in prostate cancer patients who underwent a combination of volumetric modulated arc therapy (VMAT) and low-dose-rate (LDR) brachytherapy with insertion of hydrogel spacer (SpaceOAR). For this study, 35 patients receiving hydrogel spacer and 30 patients receiving no spacer were retrospectively enrolled. Patient was treated to doses of 45 Gy to the primary tumor site and nodal regions over 25 fractions using VMAT and 100 Gy to the prostate using prostate seed implant (PSI).

Retracted: The MEK1/2 Inhibitor AZD6244 Sensitizes BRAF-Mutant Thyroid Cancer to Vemurafenib.

This publication has been retracted by the Editor due to the identification of falsified figure images and manuscript content that raise concerns regarding the credibility of the study and the manuscript. Reference: Vemurafenib Hao Song, Jinna Zhang, Liang Ning, Honglai Zhang, Dong Chen, Xuelong Jiao, Kejun Zhang. The MEK1/2 Inhibitor AZD6244 Sensitizes BRAF-Mutant Thyroid Cancer to Vemurafenib.

Applied Research on the Combination of Weighted Network and Supervised Learning in Acupoints Compatibility.

To enhance the depth of excavation and promote the intelligence of acupoint compatibility, a method of constructing weighted network, which combines the attributes of acupoints and supervised learning, is proposed for link prediction. Medical cases of cervical spondylosis with acupuncture treatment are standardized, and a weighted network is constructed according to acupoint attributes. Multiple similarity features are extracted from the network and input into a supervised learning model for prediction.

[Acupoint selection rules of acupuncture for cervical spondylotic radiculopathy based on data mining].

Objective: To analyze the rules of acupoint selection in the acupuncture treatment of cervical spondylotic radiculopathy by data mining.

Methods: The randomized controlled trials (RCTs) regarding acupuncture for cervical spondylotic radiculopathy published from July 15 of 2009 to July 15 of 2019 were retrieved from databases of CNKI, VIP, Wanfang, SinoMed, PubMed and EMbase. A database was established with Microsoft Excel 2016.

Which of the acupuncture treatment regimen for lumbar disc herniation is more effective and safer: A protocol for systematic review and network meta-analysis.

Introduction: Lumbar disc herniation (LDH) is the most common cause of low back pain and severely affects people's quality of life and ability to work. Although many clinical trials and medical reports conducted over the years have shown that acupuncture treatments are effective for LDH, the comparative effectiveness of these different acupuncture therapies is still unclear. This protocol of a network meta-analysis was designed to compare the effects and safety of acupuncture treatment regimens on LDH using both direct and indirect evidence.

Phase I trial of dose-escalated stereotactic radiosurgery (SRS) boost for unfavorable locally advanced oropharyngeal cancer.

Background And Purpose: Patients with locally advanced oropharynx squamous cell carcinoma have suboptimal outcomes with standard chemoradiation. Here, we evaluated toxicity and oncologic outcomes of dose escalation using radiosurgical boost for patients with unfavorable oropharynx squamous cell carcinoma.

Materials And Methods: Between 2010-2017, Thirty four patients with intermediate- or high-risk oropharynx squamous cell carcinoma were enrolled onto this prospective phase I trial.

Eukaryotic translation initiation factor 5A in the pathogenesis of cancers.

Cancer is the leading cause of death worldwide. The absence of obvious symptoms and insufficiently sensitive biomarkers in early stages of carcinoma limits early diagnosis. Cancer therapy agents and targeted therapy have been used extensively against tissues or organs of specific cancers.

Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR.

The malignancy characterization of hepatocellular carcinoma (HCC) is remarkably significant in clinical practice. In this work, we propose a deeply supervised cross modal transfer learning method to remarkably improve the malignancy characterization of HCC based on non-enhanced MR. First, we use samples of non-enhanced and contrast-enhanced MR for pre-training a deep learning network to learn the cross modal relationship between the non-enhanced modal and enhanced modal.

A Model-Based Method for Assessment of Salivary Gland and Planning Target Volume Dosimetry in Volumetric-Modulated Arc Therapy Planning on Head-and-Neck Cancer.

This study examined the relationship of achievable mean dose and percent volumetric overlap of salivary gland with the planning target volume (PTV) in volumetric-modulated arc therapy (VMAT) plan in radiotherapy for a patient with head-and-neck cancer. The aim was to develop a model to predict the viability of planning objectives for both PTV coverage and organs-at-risk (OAR) sparing based on overlap volumes between PTVs and OARs, before the planning process. Forty patients with head-and-neck cancer were selected for this retrospective plan analysis.

Targeted inhibition of long non-coding RNA H19 blocks anaplastic thyroid carcinoma growth and metastasis.

Long non-coding RNA H19 (H19) is highly expressed in cancers and is considered to highly correlate with the extent of malignant degree. The present study was performed to determine the expression levels of H19 in anaplastic thyroid carcinoma (ATC) tissues and the role of H19 in ATC 8505C cells and . Expression of H19 was detected in 19 ATC and 19 normal thyroid tissues by real-time quantitative polymerase chain reaction.

Synergistic inhibition of MEK/ERK and BRAF V600E with PD98059 and PLX4032 induces sodium/iodide symporter (NIS) expression and radioiodine uptake in BRAF mutated papillary thyroid cancer cells.

Background And Aims: The activating mutation BRAF is a frequent genetic event in papillary thyroid carcinomas (PTC). Mutation BRAF is associated with the loss of a sodium/iodine symporter (NIS), and subsequent radioiodide-refractory (RAI) metastatic disease. Use of BRAF V600E inhibitors could partly restore NIS expression and Iodide uptake by inhibition of mitogen-activated protein kinase (MAPK) pathway.

S100A4 Knockout Sensitizes Anaplastic Thyroid Carcinoma Cells Harboring BRAFV600E/Mt to Vemurafenib.

Background/aims: Anaplastic thyroid cancer (ATC), with 25% BRAFV600E mutation, is one of the most lethal human malignancies that currently has no effective therapy. Vemurafenib, a BRAFV600E inhibitor, has shown promise in clinical trials, including ATC patients, but is being hampered by the acquisition of drug resistance. Therefore, combination therapy that includes BRAFV600E inhibition and avoids resistance is a clinical need.

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

Background: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospital information systems and disease surveillance systems, provides abundant data for CAMDM. However, the complexity of EMR data with abstract medical knowledge makes the conventional model incompetent for the analysis.

The MEK1/2 Inhibitor AZD6244 Sensitizes BRAF-Mutant Thyroid Cancer to Vemurafenib.

BACKGROUND [i]BRAF[/i]V600E mutation occurs in approximately 45% of papillary thyroid cancer (PTC) cases, and 25% of anaplastic thyroid cancer (ATC) cases. Vemurafenib/PLX4032, a selective BRAF inhibitor, suppresses extracellular signal-regulated kinase kinase/extracellular signal-regulated kinase 1/2 (MEK/ERK1/2) signaling and shows beneficial effects in patients with metastatic melanoma harboring the [i]BRAFV600E[/i] mutation. However, the response to vemurafenib is limited in BRAF-mutant thyroid cancer.